Experimentally Demonstration of Non-line-of-sight Optical Camera Communications Based on CPWM and Convolutional Neural Network

Xiangyu Wan, Bangjiang Lin, Zabih Ghassemlooy, Tianming Huang, Jiabin Luo, Yongqi Ding

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, we propose a color pulse width modulation (CPWM) NLOS optical camera system and adopt a convolutional neural network (CNN) demodulation scheme. Experimental results show that the proposed scheme effectively mitigates the effects of diffuse reflection induced intersymbol interference, achieving a transmission rate of 7.2 kb/s on a NLOS link exceeding 2 meters.

Original languageEnglish
Title of host publicationOGC 2023 - 8th Optoelectronics Global Conference
Place of PublicationPiscataway, US
PublisherIEEE
Pages17-19
Number of pages3
Edition1st
ISBN (Electronic)9798350325324, 9798350325317
ISBN (Print)9798350325331
DOIs
Publication statusPublished - 5 Sept 2023
Event8th Optoelectronics Global Conference, OGC 2023 - Shenzhen, China
Duration: 5 Sept 20238 Sept 2023

Publication series

NameOGC 2023 - 8th Optoelectronics Global Conference

Conference

Conference8th Optoelectronics Global Conference, OGC 2023
Country/TerritoryChina
CityShenzhen
Period5/09/238/09/23

Keywords

  • Convolutional Neural Network (CNN)
  • Non-line-of-sight (NLOS)
  • Optical camera communication (OCC)
  • Pulse width modulation (PWM)
  • Visible light communications (VLC)

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